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2020 – today
- 2024
[j7]Ji-Yeon Kim
, Oh Hyun-Bin, Byung-Ki Kwon, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh:
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. IEEE Robotics Autom. Lett. 9(7): 6186-6193 (2024)- [j6]Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro:
Textless Unit-to-Unit Training for Many-to-Many Multilingual Speech-to-Speech Translation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3934-3946 (2024) - [c27]A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova:
Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. CVPR 2024: 26794-26804 - [c26]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV 2024: 228-238 - [i29]Yuanhuiyi Lyu, Xu Zheng, Dahun Kim, Lin Wang:
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All. CoRR abs/2405.16108 (2024) - [i28]Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo:
Learning Visual Grounding from Generative Vision and Language Model. CoRR abs/2407.14563 (2024) - 2023
- [j5]Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova:
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [j4]Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo:
RECLIP: Resource-efficient CLIP by Training with Small Images. Trans. Mach. Learn. Res. 2023 (2023) - [c25]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR 2023: 11144-11154 - [c24]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV 2023: 15556-15566 - [c23]Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs:
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. ICLR 2023 - [c22]Philkyue Shin, Dahun Kim, Seongsoo Hong:
Memory-Aware DVFS Governing Policy for Improved Energy-Saving in the Linux Kernel. RTCSA 2023: 57-66 - [i27]Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova:
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR abs/2303.16839 (2023) - [i26]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR abs/2304.04694 (2023) - [i25]Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs:
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. CoRR abs/2304.04897 (2023) - [i24]Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo:
RECLIP: Resource-efficient CLIP by Training with Small Images. CoRR abs/2304.06028 (2023) - [i23]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR abs/2305.07011 (2023) - [i22]Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro:
Many-to-Many Spoken Language Translation via Unified Speech and Text Representation Learning with Unit-to-Unit Translation. CoRR abs/2308.01831 (2023) - [i21]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR abs/2309.00775 (2023) - [i20]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR abs/2310.00161 (2023) - [i19]A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova:
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR abs/2311.05698 (2023) - 2022
- [j3]Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo:
Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. 7(2): 5453-5460 (2022) - [j2]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation. IEEE Trans. Image Process. 31: 5383-5395 (2022) - [c21]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR 2022: 2550-2560 - [c20]Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen:
TubeFormer-DeepLab: Video Mask Transformer. CVPR 2022: 13904-13914 - [c19]Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs:
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. WACV 2022: 3142-3151 - [i18]Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen:
TubeFormer-DeepLab: Video Mask Transformer. CoRR abs/2205.15361 (2022) - [i17]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR abs/2206.08948 (2022) - 2021
- [c18]Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon:
Global Context and Geometric Priors for Effective Non-Local Self-Attention. BMVC 2021: 63 - [c17]Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon:
Learning To Associate Every Segment for Video Panoptic Segmentation. CVPR 2021: 2705-2714 - [c16]Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs:
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. NeurIPS 2021: 24741-24752 - [c15]Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon:
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. WACV 2021: 928-937 - [i16]Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon:
Learning to Associate Every Segment for Video Panoptic Segmentation. CoRR abs/2106.09453 (2021) - [i15]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - [i14]Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo:
Learning Open-World Object Proposals without Learning to Classify. CoRR abs/2108.06753 (2021) - [i13]Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs:
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. CoRR abs/2109.07448 (2021) - 2020
- [j1]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Recurrent Temporal Aggregation Framework for Deep Video Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1038-1052 (2020) - [c14]Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon:
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. AAAI 2020: 11213-11220 - [c13]Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon:
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. BMVC 2020 - [c12]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Video Panoptic Segmentation. CVPR 2020: 9856-9865 - [c11]Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs:
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. ECCV (4) 2020: 387-402 - [c10]Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Viswanathan Swaminathan:
Rotationally-Consistent Novel View Synthesis for Humans. ACM Multimedia 2020: 2308-2316 - [i12]Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon:
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. CoRR abs/2002.00774 (2020) - [i11]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Video Panoptic Segmentation. CoRR abs/2006.11339 (2020) - [i10]Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon:
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. CoRR abs/2011.13241 (2020)
2010 – 2019
- 2019
- [c9]Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon:
Discriminative Feature Learning for Unsupervised Video Summarization. AAAI 2019: 8537-8544 - [c8]Dahun Kim, Donghyeon Cho, In So Kweon:
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. AAAI 2019: 8545-8552 - [c7]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CVPR 2019: 4263-4272 - [c6]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Video Inpainting. CVPR 2019: 5792-5801 - [c5]Donghyeon Cho, Yunjae Jung, François Rameau, Dahun Kim, Sanghyun Woo, In So Kweon:
Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency. ACM Multimedia 2019: 882-889 - [c4]KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. ACM Multimedia 2019: 1248-1257 - [i9]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Video Inpainting. CoRR abs/1905.01639 (2019) - [i8]Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CoRR abs/1905.02949 (2019) - [i7]Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon:
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. CoRR abs/1905.13066 (2019) - [i6]KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. CoRR abs/1908.07683 (2019) - 2018
- [c3]Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
LinkNet: Relational Embedding for Scene Graph. NeurIPS 2018: 558-568 - [c2]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. WACV 2018: 793-802 - [i5]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. CoRR abs/1802.01880 (2018) - [i4]Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
LinkNet: Relational Embedding for Scene Graph. CoRR abs/1811.06410 (2018) - [i3]Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon:
Discriminative Feature Learning for Unsupervised Video Summarization. CoRR abs/1811.09791 (2018) - [i2]Dahun Kim, Donghyeon Cho, In So Kweon:
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. CoRR abs/1811.09795 (2018) - 2017
- [c1]Dahun Kim, Donghyeon Cho, Donggeun Yoo:
Two-Phase Learning for Weakly Supervised Object Localization. ICCV 2017: 3554-3563 - [i1]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Two-Phase Learning for Weakly Supervised Object Localization. CoRR abs/1708.02108 (2017)
Coauthor Index
aka: In So Kweon
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